Electrical Engineering and Systems Science

A new method enhances voice conversion for individuals with atypical speech.

SURT 2.0 improves speech recognition for multiple speakers in real-time settings.

MARBLE sets a standard for evaluating music AI models across multiple tasks.

A new method improves the accuracy of identifying bird calls.

New algorithms enhance audio processing performance across varying sample rates.

Research explores sound analysis to improve mosquito sorting for disease control.

Explore two innovative methods for altering vocal timbre using Digital Signal Processing.

A new method enhances speech recognition technology without losing previously learned knowledge.

ProMIL improves classification in medical imaging by using a percentage-based approach.

A new method improves tissue imaging by estimating sound speed using deep learning.

A new method combines ground data and remote sensing for better forest biomass predictions.

New methods improve vessel segmentation in OCTA images for better eye disease detection.

Combining diverse data types improves predictions for ICU patient survival rates.

This article reviews SAM's role in medical image segmentation for radiation therapy.

New automated techniques improve stroke lesion identification in MRI scans.

Examining the difficulties in ROP diagnosis through automated systems.

A new approach to reduce radar interference in automotive systems.

RIS technology enhances wireless communication and positioning in challenging environments.

A new method enhances voice conversion for individuals with atypical speech.

A look into signal detection techniques in noisy environments.

This study introduces a multi-task learning approach for radar signal classification and characterization.

Exploring OTFS's impact on radar sensing for dynamic environments.

New methods improve channel estimation for high-speed mmWave communication.

New methods enhance image and video reconstruction without losing local details.

A new approach to reduce radar interference in automotive systems.

A model for connected automated vehicles to improve traffic safety and efficiency.

Utilizing the Extended Kalman Filter for accurate quantum gate error estimation.

A new system helps retailers improve their online ad bidding strategies.

A machine learning method identifies and suppresses unknown disturbances in dynamic systems.

A novel method estimates system parameters through image analysis and deep learning.

This study simulates CubeSat behavior to improve control methods in space.

Addressing cybersecurity challenges in connected transportation technology.